50 lines
1.4 KiB
Python
50 lines
1.4 KiB
Python
import numpy as np
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from ..util import is_ccw # NOQA
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def concatenate(paths):
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"""
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Concatenate multiple paths into a single path.
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Parameters
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-------------
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paths : (n,) Path
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Path objects to concatenate
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Returns
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-------------
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concat : Path, Path2D, or Path3D
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Concatenated result
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"""
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# if only one path object just return copy
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if len(paths) == 1:
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return paths[0].copy()
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# length of vertex arrays
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vert_len = np.array([len(i.vertices) for i in paths])
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# how much to offset each paths vertex indices by
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offsets = np.append(0.0, np.cumsum(vert_len))[:-1].astype(np.int64)
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# resulting entities
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entities = []
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# resulting vertices
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vertices = []
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# resulting metadata
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metadata = {}
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for path, offset in zip(paths, offsets):
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# update metadata
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metadata.update(path.metadata)
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# copy vertices, we will stack later
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vertices.append(path.vertices.copy())
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# copy entity then reindex points
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for entity in path.entities:
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entities.append(entity.copy())
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entities[-1].points += offset
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# generate the single new concatenated path
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# use input types so we don't have circular imports
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concat = type(path)(metadata=metadata,
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entities=entities,
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vertices=np.vstack(vertices))
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return concat
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